Sentence examples similar to explanatory number from inspiring English sources

More accessible, unfortunately perhaps, is Goldie Lookin Chain's Your Mother's Got a Penis, a fairly self-explanatory number from the Welsh rappers.

NMS scales multi-dimensional data points for 41 survey sites by rank ordering raw counts of tree species presence (species with <4 individuals surveyed were excluded) and 7 survey plot (0.5 ha) level explanatory variables (number of trees, number of trees ≥20 m, species richness, number of endemic trees, endemic species richness, number of Maesopsis eminii, and percent Maesopsis eminii).

Relationships between the rate of secondary cases and modes of transmission, country and median age were explored using univariate GLMs with Poisson errors, with mode of transmission, country or median age category inserted as the explanatory variable, number of secondary cases as the response variable and log transformed number of primary cases as the offset variable.

But an explanatory final number, "This Is Not Me," winds up saying too much ("Maybe this schism/is just a symptom/ of late capitalism") and nothing at all ("Even if this story/seems overwrought and gory/it's not a fable/not an allegory").

To control for potential collinearity effects in multiple regressions, we verified that the explanatory variables –number of adult workers and geographic distance– were not correlated in this dataset (P. phylax: P = 0.404, rS = 0.102, N = 68; C. mckeyi: P = 0.254, rS = 0.134, N = 74).

In order to confirm the categorization, a likelihood ratio test examining whether there was a systematic difference between the 2 blind experimenters was performed by a generalized linear model that consisted of an explanatory variable (number of syllables) and 3 response variables (2 operators, 11 categories of syllables, and 6 mice).

Model 3, allowed both the intercept and the explanatory variable, number of different repeat drug classes, to vary randomly across GPs [ 15].

When used as explanatory variable, the number of msp2 clones was categorised to avoid assumptions about linearity as follows: 0 i.e. negative by microscopy, 1 and ≥2 clones.

The main explanatory variables were total number of siblings, number of older and younger siblings.

Here, Selim was the narrator, interjecting explanatory remarks between numbers.

In order to model the relationship between the explanatory variables (age, gender, number of chronic conditions) and the response variables of interest (number of different prescriptions, number of referrals, number of encounters) we used multiple linear regression.